Python has a wealth of scientific computing tools, so how do you decide which ones are right for you? This book cuts through the noise to help you deliver results.

As computers become more and more powerful, scientific computing is becoming a more important part of fundamental research into how our world works. We can do more now than we could even imagine just ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job.

NUMERICAL RECIPES The Art of Scientific Computing. William H. Press, Brian P. Flannery, Saul A. Teukoisky and William I. Vetterling. Cambridge University Press, New York, 1986. 838pp., illus. $39.50.

Abe Stern from NVIDIA gave this talk at the ECSS Symposium. "We will introduce Numba and RAPIDS for GPU programming in Python. Numba allows us to write just-in-time compiled CUDA code in Python, ...

An example of how variable computing environments can hinder collaboration. Suppose you have the latest versions of R and Python installed, but your collaborator has been slower to upgrade.

One of the big surprises of the past few years has been the spectacular rise in the use of Python* in high-performance computing applications. With the latest releases of Intel® Distribution for ...

Measurement Computing Corporation (MCC) today announced the release of Python support for MCC DAQ devices. Python is a powerful object-oriented progra ...

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

Coders often use R for doing statistics, whereas Python, which is often considered more intuitive, is good for repetitive tasks and for extracting data from web-based applications.